PRELIMINARY BOOK OF ABSTRACTS

 

Invited Speakers

Sampling latent states for high-dimensional non-linear state space models with the embedded HMM method
Alexander Shestopaloff, University of Toronto

Spectral analysis approach to visualizing clustering patters of winds and waves in the Red Sea
Carolina Euan, King Abdullah University of Science and Technology (KAUST)
Coauthors: Ying Sun

Methods for sparsity adjustments in microbiome data
Ekaterina Smirnova, University of Montana

Methods for Network Change Point Detection
Ivor Cribben, University of Alberta School of Business
Coauthors: Yi Yu, University of Bristol

A bootstrap Lasso+Partial ridge method to construct confidence intervals for highdimensional linear model coefficients
Jingyi Jessica Li, University of California, Los Angeles
Coauthors; Hanzhong Liu, Tsinghua University,  Xin Xu, Yale University,  Bin Yu, University of California, Berkeley

Efficient Computational Inference for Microparticle Tracking in Biological Fluids
Martin Lysy, University of Waterloo

Bayesian Nonparametric Generative Models for Causal Inference with Missing at Random Covariates
Michael Daniels, University of Texas at Austin
Coauthors: Jason Roy, Kirsten Lum, Bret Zeldow, Jordan Dworkin, University of Pennsylvania

Statistical Inference with Estimating Functions via the MapReduce Scheme
Peter Song, University of Michigan
CoauthorsLing Zhou

Sparse representation-based analysis of hyperspectral remote sensing data
Ribana Roscher, University of Bonn

Analysis of Cancer Gene Expression Data with an Assisted Robust Marker Identification Approach
Shuangge Ma, Yale University

Bayesian clustering of cell shapes
Vahid Partovi Nia, Ecole Polytechnique de Montreal

Penalize weighted least absolute deviation regression
Xiaoli Gao, University of North Carolina at Greensboro
Coauthors: Yang Feng, Columbia University

 

Contributed Talks

Marchenko-Pastur Law for Kendall's Tau
Asad Lodhia, University of Michigan Ann Arbor
Coauthors: Afonso Bandeira and Philippe Rigollet

Variable Selection Techniques after Multiple Imputation in Highdimensional Data
Faisal Maqbool Zahid, Ludwig Maximilians University, Munich, Germany
Coauthors: Shahla Faisal, Christian Heumann

Exchange Rate Prediction from Twitter's Trending Topics
Fulya Ozcan, University of California, Irvine

A new iterative dimension reduction methodology
José Villaseñor, Colegio de Postgraduados, Mexico
Coauthors: Elizabeth González, Rocío Acosta

A Statistical and Machine Learning Model to Detect Money Laundering
Miguel Villalobos, Universidad Anáhuac

Imputation for Missing Values in HighDimensional Data Structures
Shahla Faisal, Ludwig Maximilians Universität, München, Deutchland
Coauthors: Gerhard Tutz

 

Posters

Geometric Representation of High Dimensional Data and Binary Discrimination Methods
Addy Bolivar-Cimé, Universidad Juárez Autónoma de Tabasco 
Coauthors: Luis Miguel Cordova-Rodriguez

Efficient Distributed Estimation of Inverse Covariance Matrices
Elizabeth Hou, University of Michigan
Coauthors: Jesús Arroyo

Overlapping Community Detection via Sparse PCA
Jesus Daniel Arroyo Relion, University of Michigan
Coauthors: Elizaveta Levina

A clustering algorithm based on neighborhood search
Rosa-Isela Hernández-Zamora, Universidad Autónoma de Nuevo León (UANL)
Coauthors; Alvaro Eduardo Cordero Franco, UANL, José Fernando Camacho Vallejo, UANL. Diana Barraza Barraza, Universidad Juárez del Estado de Durango